1. Yu D.L, Zhang S.Y, Zhu X.F, Ma H.T, Han H and Song Y. Simulation of anodizing current-time curves and morphology evolution of TiO2 nanotube arrays[J]. Journal of Solid State Electrochemistry, 2014, 18(9): 2609-2617.
2. Wang P.S, Song Q, Han H and Cheng J. Sequentially supervised long short-term memory for gesture recognition [J]. Cognitive Computation, 2016, 8(5): 982-991.
3. Li W.F, Rao Q, Chen X, Li G.Q and Zhang D.D. Segmentation of mitochondria based on SEM images [C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2016: 1953-1958.
4. Rao Q, Han H, Li W.F, Shen L.J, Chen X and Xie Q.W. Automatically segmenting and reconstructing neurons in SEM images[C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2016: 1908-1915.
5. Sun M.S, Zhang D.D, Guo H.C, Deng H, Li W.F and Xie Q.W. 3D-reconstruction of synapses based on EM images[C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2016: 1959-1964.
6. Li X.X, Ji G, Chen X, Ding W, Sun L, Xu W, Han H and Sun F. Large scale three-dimensional reconstruction of an entire Caenorhabditis elegans larva using AutoCUTS-SEM[J]. Journal of structural biology, 2017, 200(2): 87-96.
7. Xu B, Zhang Y, Du X.F, Li J, Zi H.X, Bu J.W, Yan Y, Han H and Du J.L. Neurons secrete miR-132-containing exosomes to regulate brain vascular integrity[J]. Cell Research, 2017, 27(7):882-897.
8. Cao H.W, Han H, Rao Q, Xiao C and Chen X. Microscopic neural image registration based on the structure of mitochondria[C]. SPIE Medical Imaging. International Society for Optics and Photonics, 2017: 1013325-1013325-6.
9. Hu J, Xiao C, Shen L.J, Xie Q.W, Chen X and Han H. Automatical detecting and connecting the mitochondria from the serial EM images[C]. IEEE Conference on Mechatronics and Automation(ICMA), 2017:1632—1637.
10 .Li L.Q, Li W.F, Zou B, Wang Y.L, Tang Y.Y and Han H. Learning with Coefficient-based Regularized Regression on Markov Resampling[J]. IEEE Transactions on Neural Networks and Learning Systems,2017,PP(99):1-11.
11. Li W.F, Deng H, Rao Q, Xie Q.W, Chen X and Han H. An automated pipeline for mitochondrial segmentation on ATUM-SEM stacks [J]. Journal of Bioinformatics and Computational Biology, 2017,15(3):1-26.
12. Li W.F, Zhang D.D, Xie Q.W, Chen X and Han H. An automated detection for axonal boutons in vivo two-photon imaging of mouse[C]. Eighth International Conference on Graphic and Image Processing. International Society for Optics and Photonics, 2017: 1022
13. Rao Q, Xiao C, Han H, Chen X, Shen L.J and Xie Q.W. Deep Learning and Shapes Similarity for Joint Segmentation and Tracing single Neurons in SEM images[C]. SPIE Medical Imaging. International Society for Optics and Photonics, 2017: 1013329-1013329-8.
14. Xiao C, Rao Q, Zhang D.D, Chen X, Han H and Xie Q.W. 3D reconstruction of synapses with deep learning based on EM Images[C]. SPIE Medical Imaging. International Society for Optics and Photonics, 2017: 101324N-101324N-6.
15. Xiao Z.P, Liu X, Han H, Xie Q.W and Shen L.J. Watershed learning merge tree used for segmenting neurons in SEM images[C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2017: 1638-1643.
17. Xie Q.W, Chen X, Deng H, Liu D.Q, Yang Y and Han H. An Automated Pipeline for Bouton, Spine, and Synapse Detection of In vivo Two-photon Images of Mouse[J].Biodata Mining,2017,10(1): 40.
18. Maoke. Y, Guoqing. L, Chang.S, Pan.Z, Hua.H. GAN based Sample Simulation for SEM-Image Super Resolution[C]. CCF Chinese Conference on Computer Vision, 2017: 383-393.
19. Yin L, Xiao C, Xie Q.W, Chen X, Shen L.J and Han H. An efficient method for neuronal tracking in electron microscopy images[C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2017: 1865-1870.
20. Yu C, Chen X, Xie Q W, Li G Q, Yin L and Han H. Image deformation using modified Moving Least Squares with outlines[C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2017: 1047-1051.
21. Zhou F.X, Chen X, Sun R and Han H. Grayscale Inhomogeneity Correction Method for Multiple Mosaicked Electron Microscope Images[C]. Ninth International Conference on Graphic and Image Processing (ICGIP 2017). International Society for Optics and Photon
22. Liao M.Y, Ma H.T, Yu D.L, Han H, Xu X.R and Zhu X.F. Formation mechanism of anodic titanium oxide in mixed electrolytes[J]. Materials Research Bulletin, 2017, 95: 539-545.
23. Dong G.D, Zhao J, Shen L.J, Xia J.Y, Meng H, Yu W.H, Huang Q, Han H, Liang X.L and Peng L.M. Large-area and highly uniform carbon nanotube film for high-performance thin film transistors[J]. Nano Research, 1-12.
24. Shu C, Chen X, Xie Q.W, and Hua H. An Unsupervised Network for Fast Microscopic Image Registration[C]. Medical Imaging 2018: Digital Pathology. International Society for Optics and Photonics, 2018, 10581: 105811D.
25. Xiao C, Li W.F, Chen X, Han H and Xie Q.W. An Effective Fully Deep Convolutional Neural Network for Mitochondria Segmentation based on ATUM-SEM[C]. Medical Imaging 2018: Image Processing. International Society for Optics and Photonics, 2018, 10574: 10
26. Xiao C, Liu J, Chen X, Han H, Shu C and Xie Q.W. Deep Contextual Residual Network for Electron Microscopy Image Segmentation in Connectomics[C]. IEEE International Symposium on Biomedical Imaging(ISBI), 2018.(accepted)
27. Shu C, Chen X, Xie Q.W, Xiao C and Han H. Non-iterative simultaneous rigid registration method for serial sections of biological tissue[C]. IEEE International Symposium on Biomedical Imaging(ISBI),2018(accepted)
28. Xiao C, Li W.F, Deng H, Chen X, Yang Y, Xie Q.W and Han H. Effective Automated Pipeline for 3D-Reconstruction of Synapses based on Deep Learning[J]. Bmc Bioinformatics, 2018, 19(1):263.
29. Liu J, Li W, Xiao C, et al. Automatic Detection and Segmentation of Mitochondria from SEM Images using Deep Neural Network[C]. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018: 628-63
30. Li W, Liu J, Xiao C, et al. A Novel 3D Connection Algorithm of Mitochondria From ATUM-SEM Stacks Based on Segmentation Information in Context[C]. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
31. Zhao L, Chen X, Shu C, Yu C and Han H. Real-time Image Deformation Using Locally-weighted Moving Least Squares[C]. International Conference on Brain Inspired Cognitive Systems. Springer, Cham, 2018: 707-716.
32. Hong B, Liu J, Li W.F, Xiao C, Xie Q.W and Han H. Fully Automatic Synaptic Cleft Detection and Segmentation From EM Images based on Deep Learning[C]. International Conference on Brain Inspired Cognitive Systems. Springer, Cham, 2018: 64-74.
33. Li W.F, Luo Z.C, Liu C.B, Liu, J.Z, Shen L.J, Xie Q.W, Han H, Yang L. L0 Sparse Approximation of Coastline Inflection Method on FY-3C MWRI Data [J]. IEEE Geoscience and Remote Sensing Letters, 2018,16(1): 85-89.
34. Li W.F, Liu J, Xiao C, Deng H, Xie Q.W and Han H. A Fast Forward 3D Connection Algorithm for Mitochondria and Synapse Segmentations from Serial EM Images [J]. BioData Mining, 2018,11(1):24.
35. Xiao C, Chen X, Li W.F, Li L.L, Wang L, Xie Q.W and Han H. Automatic mitochondria segmentation for EM data using a 3D supervised convolutional network[J]. Frontiers in Neuroanatomy, 2018, 12: 92.
36. 谢启伟, 陈曦, 沈丽君,李国庆,马宏图,韩华. 基于深度学习的脑微观结构重建[J]. 系统工程理论与实践, 2018, 38(2):482-491.
37. Shu C, Chen X, Yu C and Han H. A Refined Spatial Transformer Network[C].The 25th International Conference on Neural Information Processing, 2018:151-161.
38. Chen X, Xie Q.W, Shen L.J and Han H. Morphology-Retained Non-Linear Image Registration of Serial Electron Microscopy Sections[C]. 2018 25th IEEE International Conference on Image Processing (ICIP), 2018: 3833-3837.
39. Yu C, Chen X, Yin L, Shu C, Zhao L and Han H. Image deformation based on contour using moving integral least squares[J]. IET Image Processing, 2018, 13(1):152-160.
40. Sun R, Chen X, Yin C.Y, Qi L, Lau P.M, Han H and Bi G.Q. Correlative light and electron microscopy for complex cellular structures on PDMS substrates with coded micro-patterns[J]. Lab on a Chip, 18.
41. Chen X, Shen L, Xie Q.W , Han H. Skeleton-based image registration of serial electron microscopy sections, Medical Imaging 2019: Digital Pathology. International Society for Optics and Photonics, 2019, vol.10956, pp.1095605.
42. Jiang Y, Xiao C, Li L, Chen X, Shen L.J and Han H. An Effective Encoder-Decoder Network for Neural Cell Bodies and Cell Nucleus Segmentation of EM Images[C]. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Soc
43. Pan Zhao, Zhongwen Gao, Hua Han, Guoqing Li. Hierarchical Tree-based Regression Model for Fast Image Super-Resolution Reconstruction[J]. Journal of Mathematics in Practice and Theory, 2019,17:171-180.
44. Zhao P, Gao Z.W, Han H and Li G.Q. A Multi-Scale Wavelet CNN for Scanning Electron Microscopy Nerve Image Super Resolution[C]. The 8th International Conference on Computing and Pattern Recognition, 2019(accept)
45. Luo J, Hong B, Jiang Y, Li L.L, Xie Q.W and Han H. Automatic Classification for the Type of Multiple Synapse Based on Deep Learning[C]. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 201
46. Chang S, Zhou F.X, Chen X, Han H. Electron Microscopic Sequential Images Stitching Based on Belief Propagation[C]. International Conference on Graphic and Image Processing(ICGIP), 2019.
16. 谢启伟, 陈曦, 沈丽君, 李国庆, 马宏图, 韩华. 脑微观重建系统研究[J].系统工程理论与实践,2017,37(11):3006-3017.
47. Chen B.H , Chang S, Chen X and Han H. Using Scale Information to Improve SIFT-Based Electron Microscope Image Registration Method[C]. International Conference on Graphic and Image Processing(ICGIP), 2019.
48. Zhao X.H, Chen N, Li W.F, Peng J.T and Shen L.J. ℓp-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data[J]. Remote Sens. 2019, 11, 1886.
49. Weifu Li, Xinghui Zhao, Jiangtao Peng, et al., A New Geolocation Error Estimation Method in MWRI Data Aboard FY3 Series Satellites[J]. Accepted by IEEE Geoscience and Remote Sensing Letters, 2019.
50. Wang H, Zhu Q.Y, Ding L.F, Shen Y, Yang C.Y, Xu F, Shu C, Guo Y.J, Xiong Z.W, Shan Q.H, Jia F, Su P, Yang Q.R, Li B, Cheng Y.X, He X.B, Chen X, Wu F, Zhou J.N, Xu F.Q, Han H, Pak-Ming Lau, Bi G.Q, Scalable volumetric imaging for ultrahigh-speed brain